Triple
T26125140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brahma Sampradaya |
E659079
|
entity |
| Predicate | regardsMadhvacharyaAs |
P159976
|
FINISHED |
| Object | founder of the school |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: founder of the school | Statement: [Brahma Sampradaya, regardsMadhvacharyaAs, founder of the school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regardsMadhvacharyaAs Context triple: [Brahma Sampradaya, regardsMadhvacharyaAs, founder of the school]
-
A.
regardsMadhvacharyaAs
chosen
Indicates that one entity holds a particular view, attitude, or evaluative stance toward Madhvacharya.
-
B.
regards
Indicates that one entity considers, views, or treats another entity in a particular way or with a certain attitude.
-
C.
honorsNimbarkaAs
Indicates that someone regards Nimbarka with a particular status, role, or title, such as a teacher, authority, or incarnation.
-
D.
regardsPrayerAs
Indicates that one entity holds a particular attitude, evaluation, or characterization toward prayer as a practice or concept.
-
E.
associatedWithAcharya
Indicates a relationship in which an entity is connected, linked, or related in some relevant way to an acharya (a spiritual or scholarly teacher).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60ad0714c8190b22f7a912cad364e |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:11 p.m.